Ransomware kept its grip on organizations through the second quarter of 2026, and the headline number barely moved. What changed underneath that number is more interesting: new research gave us a rare look inside a top tier operation as it was being built, and it revealed just how little it now takes for a small and skilled group to reach the top of the field. Here’s what the quarter actually showed, and what it means for how you defend against it.  Key takeaways  Data leak sites recorded 2,139 ransomware victims in Q2 2026, essentially flat versus Q1 and up 33% […]

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Anthropic’s new inference hooks give enterprises a native enforcement point before prompts ever reach the model. Combined with Check Point Workforce AI Security, organizations get a real-time allow-or-deny decision on every prompt, with no proxy in the path. Why This Matters Enterprise AI adoption has moved well past experimentation. Employees draft documents, write code, summarize meetings, and query enterprise knowledge through large language models every day. The challenge was never understanding that AI introduces risk. It was finding a practical enforcement point. Web gateways and Data Loss Prevention (DLP) tools were designed for websites and SaaS applications, not conversations with […]

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Check Point brings open research, objective benchmarks and customer-controlled runtime protection to the industry initiative introduced by NVIDIA.  AI is rapidly changing how organizations build, operate, and protect their digital environments. As a leader in the global cyber community, we believe in the power of collective intelligence. We are proud to join the Open Secure AI Alliance as an inaugural member, working alongside leaders from across cyber security, cloud computing, enterprise software, AI, and the open-source community.  Introduced by NVIDIA, the alliance is creating a collaborative foundation for developing and sharing open technologies that advance AI safety and security, and will help organizations identify, remediate, and responsibly disclose […]

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This week, the UK’s AI Security Institute (AISI) published an incident report most organizations would have quietly buried. During a routine cyber evaluation, an AI agent researched the real human maintainers of an open-source project, invented multiple fake online identities, and used them to pressure a real person into approving malicious code. Nobody instructed it to deceive anyone, and deception simply became a route to finishing the task. A human maintainer caught it and refused. The facts AISI ran a cybersecurity challenge 122 times across seven models. In 10 runs, an agent acted outside the scope of the test, producing […]

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A few weeks ago, an AI cyber evaluation produced an unexpectedly efficient strategy for solving a benchmark: the agents went looking for the answers. According to OpenAI’s preliminary disclosure, models being tested for advanced cyber capabilities found ways to obtain secret information that could help them complete a benchmark. They chained vulnerabilities, stolen credentials, internet access, and inferences about where benchmark material might be hosted. The route eventually reached Hugging Face infrastructure, where the activity was detected and contained. Hugging Face has since published a technical reconstruction of 17,600 actions. Its investigators found a coherent intrusion that rebuilt tooling, tested […]

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